Don't naive RAG do hybrid search instead (Pinecone Weaviate or pgvector + full text search & rerank)
![](https://i.ytimg.com/vi/RkWor1BZOn0/mqdefault.jpg)
51:29
5 tiers of long-term memory and personalization for LLM applications (in-person workshop)
![](https://i.ytimg.com/vi/QxHE4af5BQE/mqdefault.jpg)
20:22
How to scrape the web for LLM in 2024: Jina AI (Reader API), Mendable (firecrawl) and Scrapegraph-ai
![](https://i.ytimg.com/vi/uFET2vifHh4/mqdefault.jpg)
2:09:48
C can do this too and it's faster than Python
![](https://i.ytimg.com/vi/dN0lsF2cvm4/mqdefault.jpg)
4:23
Vector Databases simply explained! (Embeddings & Indexes)
![](https://i.ytimg.com/vi/OGsQNLxMPEQ/mqdefault.jpg)
34:59
Event Sourcing with René Pardon
![](https://i.ytimg.com/vi/9jOMacFnbuI/mqdefault.jpg)
32:49
Setup your first LLM observability traces with LangSmith and iterate on prompts with Quotient AI
![](https://i.ytimg.com/vi/JWfNLF_g_V0/mqdefault.jpg)
18:44
Turn ANY Website into LLM Knowledge in SECONDS
![](https://i.ytimg.com/vi/8KrTO9bS91s/mqdefault.jpg)
1:55:27